Bilimp and Provimes products developed by our company are integrated into visitor management business tools. At the same time, it has been developed to be integrated with different products with its service-based structure.

In the visitor management application, visitors coming to the institution are subjected to a face recognition and detection system.

The incoming visitor's face is matched and it is checked whether he/she is among the visitors expected by the organization.

Personal Data Detection uses deep learning and machine learning algorithms to detect personal data such as ID, driver's license, passport, credit card, personal photo, etc. Personal documents/photos containing information were automatically detected and classified.

Reports on the detected data were created and institutions were enabled to take measures to protect the personal data they detected. E-mails, databases and file systems were automatically scanned with the developed PDPA tool, enabling personal data to be detected and automatically reported.

The Smart Revenue Enhancement System aims to organize and improve the incomplete and inconsistent information in the municipal database, including registration and declaration information, by analyzing it with data mining techniques, thus ensuring fairness and justice in tax collection, identifying and preventing lost and illegal resources and increasing revenues.

The taxpayer registry and declaration structure, which is the cornerstone of the revenue and service infrastructure in the existing information system of municipalities, may contain incomplete, repetitive and incorrect information due to various reasons over the years, thus preventing the formation of a consistent structure within itself.